Meta Launches Muse Image and Muse Video: AI Image Generation for Advertisers

8 July 2026 · 18:00 · Claude (Anthropic) · claude-sonnet-4-6

On July 7, 2026, Meta launched Muse Image and Muse Video, two new AI tools for generating images and videos. The launch targets advertisers and paid subscribers, but has sparked fierce criticism because Meta uses Instagram photos from users as training data by default — unless they actively opt out.

Meta Muse Image is Meta's latest step into the rapidly growing world of AI image generation. On July 7, 2026, the tech company behind Facebook, Instagram, and WhatsApp announced two new tools: Muse Image and Muse Video. With this launch, Meta officially enters the competitive market for AI-generated images and videos — a market currently dominated by players such as OpenAI (DALL-E), Google (Imagen), and Midjourney. The introduction is, however, accompanied by considerable controversy over privacy and the use of user data.

What Is Meta Muse Image?

Muse Image is an AI image generator that allows users to create realistic and creative images based on text prompts. The tool is deeply integrated into Meta's AI ecosystem and is available via Meta AI on platforms such as Facebook, Instagram, and WhatsApp. Users enter a description and receive a generated image within seconds.

What sets Muse Image apart from other tools is its strong focus on commercial applications. Meta explicitly positions the tool as a solution for advertisers who want to quickly and cost-effectively generate visual content for campaigns across its social media platforms. Marketers can use it to produce professional-looking ad visuals without the need for a graphic designer.

Muse Video: AI Video Generation, Now from Meta

Alongside Muse Image, Meta also introduced Muse Video, a tool for creating short AI-generated video clips. With Muse Video, Meta is tapping into the growing demand for AI video generation — a segment in which OpenAI's Sora and Google's Veo are already active players.

Muse Video focuses on producing short, engaging clips suited for social media and advertising purposes. Although the tool is still more limited than some competitors at this early stage, Meta indicates that this is just the starting point of a broader rollout with increasingly advanced capabilities.

Targeted at Advertisers and Paid Subscribers

Meta's strategy with Muse Image and Muse Video is clear: the company wants to attract and retain advertisers and paid subscribers. By integrating creative AI tools directly into its advertising platform, Meta gives marketers a significant edge — producing visual campaigns faster and more affordably than ever before.

Users who opt for Meta's premium subscription services gain access to extended features of Muse Image and Muse Video. This fits into Meta's broader strategy to diversify revenue streams and reduce dependence on advertising income alone. As part of AI applications for the creative industry, this represents a significant shift in how companies produce advertising content.

Controversy: Instagram Photos Used as AI Training Data

The launch of Muse Image has been met with fierce public backlash. According to Wired, Meta uses photos that users have posted on Instagram as training data for its AI models by default — unless users actively choose to opt out.

This means that millions of Instagram users, without explicitly knowing it, are contributing to the training of Muse Image and other Meta AI models. The opt-out option exists, but has not been prominently communicated and requires users to actively navigate deeply buried privacy settings in order to protect their images.

This approach raises serious questions about privacy and copyright. Photographers, visual artists, and everyday users are concerned that their work is being used to train a commercial AI product without their explicit consent. In the history of artificial intelligence, the debate over training data and ownership rights is a recurring theme — but Meta's scale makes this instance particularly impactful.

Users and Experts Push Back

Reactions to the launch are mixed. While advertisers and marketers are enthusiastic about the possibilities, many regular users and creative professionals are outright critical. On social media, hashtags about opting out of Meta's AI training are trending, and numerous users are expressing a desire to protect their Instagram content or are reconsidering their accounts altogether.

Digital rights experts point out that Meta's opt-out model has been deliberately chosen to collect as much training data as possible. An opt-in model — where users must actively grant permission — would be more ethically sound, but would drastically reduce the size of Meta's dataset. In Europe, where the GDPR imposes strict rules on the use of personal data, Meta also risks legal proceedings and potentially significant fines from privacy regulators.

Conclusion: An Ambitious but Controversial Step Forward

With Muse Image and Muse Video, Meta demonstrates its unmistakable ambition to become a dominant player in generative AI. The tools offer real benefits for advertisers and creative users, but the controversy surrounding the use of Instagram photos as training data casts a long shadow over the launch. The coming months will reveal whether Meta adjusts its approach under pressure from users, regulators, and lawmakers — or whether the company holds its course. Follow more AI news on our site or visit our knowledge base for in-depth background articles on generative AI and the ethical questions surrounding it.

TechCrunch

Source: TechCrunch